Prof Paul Wen
Name | Prof Paul Wen |
---|---|
Email Address | paul.wen@unisq.edu.au |
Job Title | Professor (Systems and Computer Control) |
Qualifications | BEng HUST, MEng HUST, PhD HUST, PhD Flinders |
Department | School of Engineering |
ORCID | https://orcid.org/0000-0003-0939-9145 (unauthenticated) |
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Biography
Peng (Paul) Wen is a professor at the University of Southern Queensland, Australia. His research interests include control systems, biomedical engineering, signal processing, brain modelling, pattern recognition, and machine learning. He received his B.E., M. E. and PhD degrees in electrical and electronic engineering from Huazhong University of Science and Technology, Wuhan, China, and another PhD degree in biomedical engineering from Flinders University of SA, Adelaide, Australia.
Employment
Position | Organisation | From | To |
---|---|---|---|
Professor | University of Southern Queensland | 2001 | |
Research Fellow | City University of Hong Kong | 1994 | 1997 |
Associate Professor | Huanzhong University of Science and Technology | 1986 | 1994 |
Expertise
intelligent control systems, biomedical engineering, signal processing, brain modelling, pattern recognition, and deep learning.
Teaching
Control Engineering
Computer systems
Smart Technology
Fields of Research
- 400399. Biomedical engineering not elsewhere classified
- 400899. Electrical engineering not elsewhere classified
Professional Membership
Professional Membership | Year |
---|---|
IEEE, CME |
BEng
HUST
1983
MEng
HUST
1986
PhD
HUST
1994
PhD
Flinders
2001
Current Supervisions
Research Title | Supervisor Type | Level of Study | Commenced |
---|---|---|---|
Deep learning based sleep stage classification studies | Associate Supervisor | Doctoral | 2019 |
Depth of Anesthesia Monitoring Algorithm Development and Real-time Implementation | Principal Supervisor | Doctoral | 2018 |
Completed Supervisions
Research Title | Supervisor Type | Level of Study | Completed |
---|---|---|---|
Real-Time Epilepsy Seizure Detection and Brain Connectivity Analysis using Electroencephalogram | Principal Supervisor | Doctoral | 2023 |
MODELLING AND NUMERICAL INVESTIGATIONS OF TRANSCRANIAL FOCUSED ULTRASOUND STIMULATION | Principal Supervisor | Doctoral | 2023 |
Early Detection of Meter Faults and Hazards using Electricity Smart Meter Data | Associate Supervisor | Masters | 2023 |
Sleep Stages Classification Based on Graph Convolutional Networks Using Multi-type Bio-signals | Associate Supervisor | Doctoral | 2023 |
Multi-Method Approaches for Sleep EEG Analysis and Sleep Stage Classification. | Associate Supervisor | Doctoral | 2023 |
Sleep characteristics and stages detection and analysis using Electroencephalogram (EEG) | Associate Supervisor | Doctoral | 2021 |
Control of cranes with a swinging load, an investigation of pragmatic control | Associate Supervisor | Doctoral | 2020 |
Brain network, modelling and corresponding EEG patterns for health and disease states | Principal Supervisor | Doctoral | 2020 |
Human head temperature and electric field investigations under ECT | Principal Supervisor | Doctoral | 2017 |
EEG signals analysis and classification based on graph theory and statistical features | Associate Supervisor | Doctoral | 2017 |
Numerical human head modelling and investigation for precise tDCS applications | Associate Supervisor | Doctoral | 2016 |